Alternate approximation of concave cost functions for process design and supply chain optimization problems
- Autores
- Cafaro, Diego Carlos; Grossmann, Ignacio E.
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This short note presents an alternate approximation of concave cost functions used to reflect economies of scale in process design and supply chain optimization problems. To approximate the original concave function, we propose a logarithmic function that is exact and has bounded gradients at zero values in contrast to other approximation schemes. We illustrate the application and advantages of the proposed approximation.
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Fil: Grossmann, Ignacio E.. University Of Carnegie Mellon; Estados Unidos - Materia
-
Concave Cost Functions
Nonlinear Optimization
Process Synthesis - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/9336
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Alternate approximation of concave cost functions for process design and supply chain optimization problemsCafaro, Diego CarlosGrossmann, Ignacio E.Concave Cost FunctionsNonlinear OptimizationProcess Synthesishttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This short note presents an alternate approximation of concave cost functions used to reflect economies of scale in process design and supply chain optimization problems. To approximate the original concave function, we propose a logarithmic function that is exact and has bounded gradients at zero values in contrast to other approximation schemes. We illustrate the application and advantages of the proposed approximation.Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); ArgentinaFil: Grossmann, Ignacio E.. University Of Carnegie Mellon; Estados UnidosElsevier2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/9336Cafaro, Diego Carlos; Grossmann, Ignacio E.; Alternate approximation of concave cost functions for process design and supply chain optimization problems; Elsevier; Computers And Chemical Engineering; 60; 1-2014; 376-3800098-1354enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2013.10.001info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135413003025info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:08:16Zoai:ri.conicet.gov.ar:11336/9336instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:08:16.798CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Alternate approximation of concave cost functions for process design and supply chain optimization problems |
title |
Alternate approximation of concave cost functions for process design and supply chain optimization problems |
spellingShingle |
Alternate approximation of concave cost functions for process design and supply chain optimization problems Cafaro, Diego Carlos Concave Cost Functions Nonlinear Optimization Process Synthesis |
title_short |
Alternate approximation of concave cost functions for process design and supply chain optimization problems |
title_full |
Alternate approximation of concave cost functions for process design and supply chain optimization problems |
title_fullStr |
Alternate approximation of concave cost functions for process design and supply chain optimization problems |
title_full_unstemmed |
Alternate approximation of concave cost functions for process design and supply chain optimization problems |
title_sort |
Alternate approximation of concave cost functions for process design and supply chain optimization problems |
dc.creator.none.fl_str_mv |
Cafaro, Diego Carlos Grossmann, Ignacio E. |
author |
Cafaro, Diego Carlos |
author_facet |
Cafaro, Diego Carlos Grossmann, Ignacio E. |
author_role |
author |
author2 |
Grossmann, Ignacio E. |
author2_role |
author |
dc.subject.none.fl_str_mv |
Concave Cost Functions Nonlinear Optimization Process Synthesis |
topic |
Concave Cost Functions Nonlinear Optimization Process Synthesis |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
This short note presents an alternate approximation of concave cost functions used to reflect economies of scale in process design and supply chain optimization problems. To approximate the original concave function, we propose a logarithmic function that is exact and has bounded gradients at zero values in contrast to other approximation schemes. We illustrate the application and advantages of the proposed approximation. Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina Fil: Grossmann, Ignacio E.. University Of Carnegie Mellon; Estados Unidos |
description |
This short note presents an alternate approximation of concave cost functions used to reflect economies of scale in process design and supply chain optimization problems. To approximate the original concave function, we propose a logarithmic function that is exact and has bounded gradients at zero values in contrast to other approximation schemes. We illustrate the application and advantages of the proposed approximation. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/9336 Cafaro, Diego Carlos; Grossmann, Ignacio E.; Alternate approximation of concave cost functions for process design and supply chain optimization problems; Elsevier; Computers And Chemical Engineering; 60; 1-2014; 376-380 0098-1354 |
url |
http://hdl.handle.net/11336/9336 |
identifier_str_mv |
Cafaro, Diego Carlos; Grossmann, Ignacio E.; Alternate approximation of concave cost functions for process design and supply chain optimization problems; Elsevier; Computers And Chemical Engineering; 60; 1-2014; 376-380 0098-1354 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2013.10.001 info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135413003025 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842270038303703040 |
score |
13.13397 |